TY - JOUR
T1 - Knowledge-based analysis and understanding of medical images
AU - Dhawan, Atam P.
AU - Juvvadi, Sridhar
N1 - Funding Information:
This work was supported, in part, by grants from the Texas Advanced Technology and Research Program (TATRP), and the NASA Johnson Space Center, Houston. This work was started at the University of Houston and is continued at the Knowledge-Based Image Analysis Laboratory at the University of Cincinnati. We thank Nizar Mullani from the Texas Health Sciences Center at Houston for arranging the CT chest scans for this study.
PY - 1990/12
Y1 - 1990/12
N2 - Knowledge-based image analysis and interpretation of radiological images is of significant interest for several reasons including a means to identify and label each part of the image for further automated diagnostic analysis. Also, there is a need to develop a knowledge-based biomedical image analysis system which can analyze and interpret the anatomical images (such as those obtained from X-ray computed tomography (CT) scanning) in order to help analysis of functional images (such as those obtained from positron emission tomography (PET) scanning) of the organ of the same patient. This paper deals with the design and implementation of a knowledge-based system to analyze and interpret CT anatomical images of the human chest. In the approach presented here, the emphasis has been on the development of a strong low-level analysis system with the capability of analyzing in both bottom-up and top-down modes; and on the use of hierarchical relational, spatial, and structural knowledge of human anatomy in the process of high-level analysis and recognition.
AB - Knowledge-based image analysis and interpretation of radiological images is of significant interest for several reasons including a means to identify and label each part of the image for further automated diagnostic analysis. Also, there is a need to develop a knowledge-based biomedical image analysis system which can analyze and interpret the anatomical images (such as those obtained from X-ray computed tomography (CT) scanning) in order to help analysis of functional images (such as those obtained from positron emission tomography (PET) scanning) of the organ of the same patient. This paper deals with the design and implementation of a knowledge-based system to analyze and interpret CT anatomical images of the human chest. In the approach presented here, the emphasis has been on the development of a strong low-level analysis system with the capability of analyzing in both bottom-up and top-down modes; and on the use of hierarchical relational, spatial, and structural knowledge of human anatomy in the process of high-level analysis and recognition.
KW - Computed tomography image analysis
KW - Image analysis
KW - Knowledge-based analysis
KW - Medical image analysis
KW - Medical-vision system
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U2 - 10.1016/0169-2607(90)90073-I
DO - 10.1016/0169-2607(90)90073-I
M3 - Article
C2 - 2282789
AN - SCOPUS:0025605789
SN - 0169-2607
VL - 33
SP - 221
EP - 239
JO - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
IS - 4
ER -